Cephalometric analysis is the calculation of linear and angular measures on structures in the head. Cephalometric measures are calculated from two-dimensional lateral x-rays known as cephalograms and are commonly used by orthodontists and oral and maxillofacial surgeons for treatment planning purposes. However, the skull is a three-dimensional structure and there is a loss of information when focusing solely on measures derived from x-rays. With the increasing availability of cone-beam computed tomography (CBCT) scans that capture a complete three-dimensional image of the skull, the establishment of three-dimensional norms and measures is an important consideration for future research and clinical treatment. Additionally, multivariate analysis of skeletal information can reveal phenotypic information that be missed when performing univariate analysis.
In this talk, we will focus on the current state of CBCT imaging in research as well as discuss the importance of developing norms and standards for three-dimensional CBCT data in relation to age, sex and ethnicity. Then, we will discuss how this data can better inform research, diagnostics and treatment planning in a clinical setting.
You should register for this webinar if you are interested in learning about advances in the analysis of three-dimensional imaging data in a clinical and research setting.
After participating in this live webinar, the learner should be better able to:
- Understand the current state of craniofacial imaging standards and norms
- Discuss methods for the analysis of cephalometric data
- Understand how the incorporation of three-dimensional data can provide increased phenotypic resolution in research and clinical settings
Denise K. Liberton, PhD – Post-Doctoral Fellow, National Institute of Dental and Craniofacial Research, National Institutes of Health
Denise K. Liberton received her PhD in Biological Anthropology from Pennsylvania State University. During her dissertation research, she investigated worldwide human facial variation from surface three-dimensional images. She did a postdoc at the Cumming School of Medicine at the University of Calgary where she learned more about three-dimensional imaging modalities and analytical methods. Since 2014, she has been a postdoctoral fellow at the National Institute of Dental and Craniofacial Research. Her research focuses on developing new norms and methods for analyzing three-dimensional imaging data in clinical populations and involves multivariate statistics, machine learning and various imaging modalities.
This Dental Informatics Working Group webinar series is being made freely available to AMIA members and non-members alike through a generous sponsorship by the University at Buffalo, School of Dental Medicine.
Established in 1892, the University at Buffalo School of Dental Medicine continues to educate general practitioners, specialists and biomedical scientists in the art and science of oral health through our comprehensive accredited programs: DDS, certificates in advanced general dentistry, endodontics, general practice residency, oral and maxillofacial surgery/MD, oral and maxillofacial pathology, pediatric dentistry, periodontics, and prosthodontics; and Masters degree in biomaterials, oral sciences and orthodontics; and the first Oral Biology PhD program in the US. Education programs are provided to some of these 5700 alumni and others through Continuing Dental Education offerings.